Siri Reddy
Coppell,TX
Summary
I am a detail-oriented and driven data and Adtech engineer with experience in data analytics, automation, and implementation of Adobe Experience Platform tools. Proficient in Python, data visualization, and Generative AI projects, with a strong academic background with a Master's in Computer Software Engineering and hands-on experience in both data analysis and Adtech implementation.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Adtech Engineer
Western Union
Coppell
11.2024 - 11.2025
- Implemented and set up migration of Adobe Analytics to Customer Journey Analytics, writing Python scripts to automate data extraction, transformation, and validation during the migration process.
- Created data elements for capturing website data and defined rule triggers for automatic data collection, leveraging Python pipelines to pre-process and normalize incoming event streams before ingestion.
- Built dashboards in CJA, defined visitor segments, and developed interactive visualizations, using Python (pandas, matplotlib) to perform exploratory data analysis and validate segment logic against raw datasets.
- Performed data validation and testing using AEP, Adobe Launch, and Adobe Analytics, supplemented by Python-based automated testing scripts to cross-check data consistency across platforms.
- Designed and configured data elements in Adobe Launch to accurately capture user actions such as clicks, form submissions, and navigation events across multiple site sections, and developed Python backend APIs to receive, enrich, and store these events in a centralized data layer.
- Developed and tested triggering rules in Launch to automate event data capture without manual intervention, and built supporting Python microservices to process and route event payloads to downstream analytics systems, ensuring data reliability and alignment with business KPIs.
- Conducted comprehensive data validation and QA testing to confirm accuracy of captured data, authoring Python scripts to automate regression checks and reconcile discrepancies between raw and processed data, collaborating with QA teams to troubleshoot inconsistencies.
Data Engineer
Siliciom Technologies
01.2020 - 05.2022
- Analyzed large datasets using Python (Pandas, NumPy) and orchestrated automated data pipelines via Apache Airflow to extract, aggregate, and deliver actionable business insights across multiple data sources.
- Developed and deployed automated Python scripts for data preprocessing, cleaning, and outlier detection as scheduled backend jobs, ensuring consistently reliable data for downstream analytics workflows.
- Built end-to-end predictive models using scikit-learn (0.23–0.24), handling feature engineering, GridSearchCV tuning, and model evaluation, and served outputs via Flask REST APIs for real-time business consumption.
- Designed and optimized complex SQL queries integrated within Python backend workflows using SQLAlchemy and psycopg2, with data warehousing managed across Amazon Redshift and Google BigQuery.
- Developed Power BI dashboards and Python visualizations (Matplotlib, Seaborn, Plotly 4.x) backed by Flask data services, enabling management to drive real-time, data-backed business strategies.
- Partnered with engineering and product teams to translate business requirements into Python backend data services and third-party API integrations using Django REST Framework and Requests library, embedding analytical outputs directly into product infrastructure.
- Collaborated with cross-functional teams to define data requirements and specifications.
Data Analyst Intern
Siliciom Technologies
05.2019 - 12.2019
- Assisted in creating Python scripts for daily data task automation.
- Helped in data analysis using Python and SQL to produce reports.
- Gained hands on experience in data lifecycle management, from raw extraction to insight generation.
- Assisted in developing data validation scripts to detect data entry errors and inconsistencies.
- Supported the analytics team in data profiling and creation of automated reporting templates.
Education
Master of Science - Computer Software Engineering
Cleveland State University
Cleveland, OH01.2024
Bachelor of Technology - Computer Science Engineering
Anurag Group of Institutions
Hyderabad01.2019
Skills
- Languages: Python, HTML, C, SQL
- Data Analysis Tools: Pandas, NumPy, SciPy, scikit-learn (023–024)
- Data Visualization: Matplotlib, Seaborn, Plotly 4x
- Machine Learning: Regression, Classification, Clustering (scikit-learn), GridSearchCV, Feature Engineering, End-to-End ML Pipelines
- Backend Development: Flask, Django REST Framework, REST APIs, SQLAlchemy, psycopg2
- Data Engineering & Pipelines: Apache Airflow, ETL Pipelines, Data Preprocessing & Cleaning
- Web Scraping: Beautiful Soup, Requests Library
- Database: MySQL, Amazon Redshift, Google BigQuery, MySQL Workbench
- Data Warehousing: Amazon Redshift, Google BigQuery
- Operating Systems: Windows, Linux
- Applications: Adobe Analytics, Customer Journey Analytics, Adobe Launch, Talend, Power BI, Tableau
- Testing Tools: Selenium, JUnit
- Other Tools: Microsoft Office (Excel, Word, PowerPoint), JIRA, Confluence, ArgoUML, StarUML, Jupyter Notebooks
Certification
- FOSS-IIT Bombay: PHP & MySQL Training
- Microsoft Technology Associate (MTA) in HTML5 and Databases
- Adobe Customer Journey Analytics Foundations
- Adobe Experience Platform Foundations
- Published paper: 'Audio Watermarking using Fibonacci Series' in IJMTE Journal
Timeline
Adtech Engineer
Western Union
11.2024 - 11.2025
Data Engineer
Siliciom Technologies
01.2020 - 05.2022
Data Analyst Intern
Siliciom Technologies
05.2019 - 12.2019
Master of Science - Computer Software Engineering
Cleveland State University
Bachelor of Technology - Computer Science Engineering
Anurag Group of Institutions